Ghent University
1 week ago
PhD Position in AI-Driven Resilient RAN Optimization for 6G and O-RAN Architectures Ghent University in Belgium
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time doctoral fellow position for an initial 12 months, extendable after positive evaluation to a maximum of 48 months. Fellowship amount is 100% of the net salary of an AAP member in equal family circumstances; the grant is considered free of personal income tax under doctoral fellowship regulations. Staff benefits include training opportunities, holiday leave, bicycle allowance, and eco vouchers.
Country
Belgium
University
Ghent University
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About this position
Ghent University / IDLab is advertising a PhD position in AI-driven resilient RAN optimization for 6G and O-RAN architectures in Belgium.
The project sits in the IDLab research cluster on Intelligent Wireless Networking and focuses on next-generation cellular communications, including 6G, Open RAN (O-RAN), radio access network (RAN) optimization, radio resource management (RRM), reinforcement learning, agentic AI, wireless security, network resilience, and multi-RAT coordination across terrestrial/non-terrestrial networks and Wi-Fi.
The research aims to develop decentralized, proactive, and self-healing control strategies for adaptive spectrum usage, power control, scheduling, interference mitigation, jamming avoidance, and service continuity under adversarial or disrupted conditions. Validation will use simulation tools and in-house wireless testbeds.
Applicants should have or soon obtain a Master’s degree in Computer Science Engineering, Information Engineering Technology, Electrical Engineering, or a related field. Strong wireless/mobile networking knowledge, machine learning experience, coding skills in Python and C++, familiarity with ns-3 or similar tools, and fluent English (C1) are expected.
The position is a full-time doctoral fellowship for 12 months initially, extendable up to 48 months after positive evaluation. The fellowship is paid at 100% of the net salary of an AAP member in equal family circumstances, with tax advantages under doctoral fellowship regulations.
To apply, submit a motivation letter, CV, at least two references, diploma copy if available, and transcripts of study results via the online application portal.
Funding details
Full-time doctoral fellow position for an initial 12 months, extendable after positive evaluation to a maximum of 48 months. Fellowship amount is 100% of the net salary of an AAP member in equal family circumstances; the grant is considered free of personal income tax under doctoral fellowship regulations. Staff benefits include training opportunities, holiday leave, bicycle allowance, and eco vouchers.
What's required
Applicants must have or soon receive a Master’s degree in Computer Science Engineering, Information Engineering Technology, Electrical Engineering, or a related field. They should be interested in a 4-year PhD in an academic environment and have a strong background in wireless and mobile networks plus machine learning, ideally with reinforcement learning or decision-making agents. Experience or interest in network resilience, robust optimization, or wireless security is expected, along with excellent Python and C++ coding skills, familiarity with ns-3 or similar wireless simulation/prototyping tools, strong analytical and mathematical skills, teamwork, communication skills, ability to meet project milestones, and fluent English at C1 level.
How to apply
Prepare a motivation letter, CV, at least two reference contacts, a copy of your diploma if available, and transcripts of study results. Apply online via the job page.
More information can be found here
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